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Usefulness of computed tomography-measured psoas muscle thickness per height for predicting mortality in patients undergoing hemodialysis
Scientific Reports ( IF 3.8 ) Pub Date : 2021-09-24 , DOI: 10.1038/s41598-021-98613-5
Takahiro Yajima 1 , Maiko Arao 1 , Kumiko Yajima 2 , Hiroshi Takahashi 3
Affiliation  

Computed tomography (CT)-measured psoas muscle thickness standardized for height (PMTH) has emerged as a promising predictor of mortality. The study aimed to investigate whether PMTH could accurately predict mortality in patients undergoing hemodialysis. We examined 207 patients (mean age: 63.1 years; men: 66.2%) undergoing hemodialysis for more than 6 months in hospital affiliated clinic. PMTH was calculated at the L3 vertebra level using CT. Patients were divided according to the PMTH cut-off points: 8.44 mm/m in women and 8.85 mm/m in men; thereafter, they were combined into low and high PMTH groups. PMTH was independently correlated with the simplified creatinine index (β = 0.213, P = 0.021) and geriatric nutritional risk index (β = 0.295, P < 0.0001) in multivariate regression analysis. During a median follow-up of 3.7 (1.8–6.4) years, 76 patients died, including 41 from cardiovascular causes. In the multivariate Cox regression analysis, low PMTH (adjusted hazard ratio, 2.48; 95% confidence interval, 1.36–4.70) was independently associated with an increased risk of all-cause mortality. The addition of binary PMTH groups to the baseline risk model tended to improve net reclassification improvement (0.460, p = 0.060). In conclusion, PMTH may be an indicator of protein energy wasting and a useful tool for predicting mortality in patients undergoing hemodialysis.



中文翻译:

计算机断层扫描测量的单位高度腰大肌厚度在预测接受血液透析患者死亡率方面的有用性

计算机断层扫描 (CT) 测量的腰大肌厚度标准化高度 (PMTH) 已成为有希望的死亡率预测指标。该研究旨在调查 PMTH 是否可以准确预测接受血液透析的患者的死亡率。我们检查了 207 名在医院附属诊所接受血液透析超过 6 个月的患者(平均年龄:63.1 岁;男性:66.2%)。使用 CT 在 L3 椎骨水平计算 PMTH。患者根据 PMTH 分界点进行划分:女性为 8.44 mm/m,男性为 8.85 mm/m;此后,它们被合并为低和高 PMTH 组。PMTH 与简化肌酐指数(β = 0.213,P  = 0.021)和老年营养风险指数(β = 0.295,P < 0.0001) 在多元回归分析中。在中位随访 3.7 (1.8-6.4) 年期间,76 名患者死亡,其中 41 名死于心血管原因。在多变量 Cox 回归分析中,低 PMTH(调整后的风险比,2.48;95% 置信区间,1.36-4.70)与全因死亡风险增加独立相关。将二元 PMTH 组添加到基线风险模型倾向于提高净重分类改进(0.460,p = 0.060)。总之,PMTH 可能是蛋白质能量浪费的指标,也是预测接受血液透析患者死亡率的有用工具。

更新日期:2021-09-24
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